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Entry Level Ai Data Rater Jobs in Georgia (NOW HIRING)

Entry Level Data Engineer

Marietta, GA · On-site

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

Entry Level Data Engineer

Conley, GA · On-site

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

Entry Level Data Engineer

Mableton, GA · On-site

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

Entry Level Data Engineer

Hapeville, GA · On-site

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

Entry Level Data Engineer

Marietta, GA · On-site

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

Entry Level Data Engineer

Pine Lake, GA · On-site

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

Entry Level Data Engineer

Vinnings, GA · On-site

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

Entry Level Data Engineer

Fairburn, GA · On-site

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

Entry Level Data Engineer

Riverdale, GA · On-site

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

Entry Level Data Engineer

East Point, GA · On-site

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

Entry Level Data Engineer

Decatur, GA · On-site

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

Entry Level Data Engineer

Chamblee, GA · On-site

$67K - $100K/yr

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you ...

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Showing results 1-20

Entry Level Ai Data Rater information

What are the key skills and qualifications needed to thrive as an Entry Level AI Data Rater, and why are they important?

To thrive as an Entry Level AI Data Rater, you need strong analytical skills, attention to detail, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with web browsers, online research tools, and proprietary rating platforms is typically required; some roles may also ask for knowledge of specific guidelines or quality assurance systems. Excellent communication, critical thinking, and time management are crucial soft skills for interpreting data and meeting productivity targets. These competencies ensure accurate data labeling and evaluation, directly impacting the quality of AI training and system performance.

What is the difference between Entry Level Ai Data Rater vs Data Labeler?

AspectEntry Level Ai Data RaterData Labeler
Required CredentialsHigh school diploma or equivalent; no specialized certification often neededHigh school diploma or equivalent; may require basic training
Work EnvironmentRemote or office-based; working with AI datasetsRemote or on-site; labeling data for machine learning models
Employer & Industry UsageTech companies, AI startups, data annotation firmsTech companies, data annotation services, AI development firms

Both roles involve working with data to improve AI systems, but Entry Level Ai Data Raters often focus on evaluating AI outputs, while Data Labelers primarily annotate data. The roles are similar in credentials and work environment, with slight differences in job focus.

What are the most common challenges faced by Entry Level AI Data Raters, and how can they be addressed?

One of the most common challenges for Entry Level AI Data Raters is maintaining consistency and accuracy when evaluating large volumes of data. Since the work often involves repetitive tasks and adhering to detailed guidelines, it can be easy to overlook small errors or become fatigued. To overcome this, it's helpful to take regular breaks, stay organized, and continually review the provided instructions. Collaborating with team leads or peers to clarify uncertainties can also improve performance and ensure high-quality results.

What is an Entry Level AI Data Rater?

An Entry Level AI Data Rater is a professional who evaluates, labels, and rates data—such as text, images, or search results—to help improve artificial intelligence systems. Their work ensures that AI models can better understand and process human language and behavior. This role typically involves following specific guidelines to assess the accuracy and relevance of data, providing valuable feedback that helps train machine learning algorithms. Entry level positions usually require attention to detail, basic computer skills, and the ability to follow instructions closely.
What are the most commonly searched types of Ai Data Rater jobs in Georgia? The most popular types of Ai Data Rater jobs in Georgia are:
What are popular job titles related to Entry Level Ai Data Rater jobs in Georgia? For Entry Level Ai Data Rater jobs in Georgia, the most frequently searched job titles are:
Infographic showing various Entry Level Ai Data Rater job openings in Georgia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Computer Programmer AI and ML

Computer Programmer AI and ML

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Overview:
Technologies are evolving at a rapid pace, with innovation being driven by advancements in technology itself. Today, information technology is at a crossroads, poised to reach unprecedented levels, as evidenced by substantial investments from large companies amounting to billions of dollars. R2 Technologies is aligning with this change by forming a team dedicated to training professionals from basic to advanced levels.
Do you have a passion for integrating AI and deep learning into the next generation of software development? Do you want to be part of our journey? R2 Technologies is currently seeking motivated, career-oriented, and client-focused Software Engineers specializing in AI and data science. The ideal candidates will have a strong ability to identify and communicate patterns in data and model behavior. In this role, you may collaborate with multiple teams and technologies (machine learning, quality assurance, cloud infrastructure support, user studies) to improve algorithm quality and guide feature development with a data-driven approach, delivering outstanding computer experiences.
Led by Dr. Raju Manthena, CEO of R2 Technologies, we are building a team to provide customers with the most innovative technology services as efficiently as possible. Our core technology prototypes will feature customizable algorithms designed to meet the needs of various industries, including medical, clinical, pharmaceutical, financial, and insurance sectors.
Required Knowledge, Skills and Abilities
  • Ability to lean and write code in SQL, R, or Python for processing large datasets in distributed cloud environments, and learn and adapt in processing and analyzing healthcare data.
  • learn and practice developing, evaluating, and implementing machine learning models.
  • learn and practice in working with clients across disciplines to develop approaches for use in their business core.
  • learn and practice in working in cloud environments .
  • Graduate level understanding of techniques in machine learning, knowledge representation, and artificial intelligence along with a strong understanding of statistics.
  • Knowledge of software development, machine learning, and technology infrastructure
  • Excellent verbal and written communication skills, strong interpersonal skills, along with demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks.

Responsibilities include but are not limited to:
  • Research and evaluate emerging AI, data science, and related technologies, such as Generative AI, technical tools and approaches for responsible and trustworthy AI, Quantum, Image Compression and Recall, and Self Supervised Learning.
  • Stay current on published state-of-the-art data science, AI, and analytics methods and applications and seek out opportunities to apply them against client use cases.
  • Develop statistical and advanced analytics models using advanced analytic techniques such as Natural Language Processing, Graph Analytics, Computer Vision, modeling and simulation, Operations Research, anomaly detection, data visualization and metrics creation.
  • Direct and actively contribute to proof-of-concept studies and research prototypes, including creating prototypes to implement data models.
  • Perform knowledge elicitation from client business problems and understanding and convert that to derived algorithms, and lead and guide teams in this knowledge elicitation process.
  • Apply design thinking or other solution-based methods to solve problems consisting of various qualitative activities that support the generation of insightful, human-centered and impactful design solutions.
  • Identify AI challenges in non-AI projects to enhance the capabilities of data scientists by automating repetitive tasks, uncovering patterns, and providing advanced analytics and predictive modeling techniques.
  • Translate technical requirements to agile tasks to prioritize models and data according to the goals and requirements of the client.
  • Perform solution development through white boarding sessions - Algorithmic problems, data manipulation tasks, or other technical challenges related to data science.
  • Communicate findings to diverse technical and non-technical stakeholders, and engage clients to distill complex technical language. Communicate these findings in language and forms appropriate for the full spectrum of technical background and focus, from end users through executive decision makers.
  • Lead and mentor entry-level, mid-level, and senior level practitioners of AI and data science.
  • Shape Internal Research & Development (IRAD) directions in AI, data science, and related scientific areas. Ensure that these directions are aligned with the practice strategy and client needs.
  • Represent ManTech's data and AI practice in the broader community. Example activities include conference participation, formal or information publications, and speaking at client events.

Qualifications:
• Bachelor's degree in computer science, Engineering, or related field. Good to have Master and or Ph.D.
What we offer : The best in the industry -
  1. Medical insurance
  2. Dental
  3. Vision
  4. Life Insurance
  5. 401K with employer contribution
  6. Paid vacation
  7. Immigration sponsorship for those who requires it - (H1 B and Green cord)
  8. Career guidance
  9. Employee referral bonus
  10. Project based - performance allowances.

Skills:
SQL, Spark, and Python,AI,ML